Array-based detection of persistent organic pollutants via cyclodextrin promoted energy transfer

Nicole Serio; Daniel F. Moyano; Vincent M. Rotello; Mindy Levine

doi:10.1039/c5cc04153h

Array-based detection of persistent organic pollutants via cyclodextrin promoted energy transfer

Nicole Serio, Daniel F. Moyano, Vincent M. Rotello, Mindy Levine

Research output: Contribution to journal › Article › peer-review

42 Scopus citations

Abstract

We report herein the selective array-based detection of 30 persistent organic pollutants via cyclodextrin-promoted energy transfer. The use of three fluorophores enabled the development of an array that classified 30 analytes with 100% accuracy and identified unknown analytes with 96% accuracy, as well as identifying 92% of analytes in urine.

Original language	English
Pages (from-to)	11615-11618
Number of pages	4
Journal	Chemical Communications
Volume	51
Issue number	58
DOIs	https://doi.org/10.1039/c5cc04153h
State	Published - 25 Jul 2015
Externally published	Yes

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title = "Array-based detection of persistent organic pollutants via cyclodextrin promoted energy transfer",

abstract = "We report herein the selective array-based detection of 30 persistent organic pollutants via cyclodextrin-promoted energy transfer. The use of three fluorophores enabled the development of an array that classified 30 analytes with 100\% accuracy and identified unknown analytes with 96\% accuracy, as well as identifying 92\% of analytes in urine.",

author = "Nicole Serio and Moyano, \{Daniel F.\} and Rotello, \{Vincent M.\} and Mindy Levine",

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AU - Serio, Nicole

AU - Moyano, Daniel F.

AU - Rotello, Vincent M.

AU - Levine, Mindy

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PY - 2015/7/25

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N2 - We report herein the selective array-based detection of 30 persistent organic pollutants via cyclodextrin-promoted energy transfer. The use of three fluorophores enabled the development of an array that classified 30 analytes with 100% accuracy and identified unknown analytes with 96% accuracy, as well as identifying 92% of analytes in urine.

AB - We report herein the selective array-based detection of 30 persistent organic pollutants via cyclodextrin-promoted energy transfer. The use of three fluorophores enabled the development of an array that classified 30 analytes with 100% accuracy and identified unknown analytes with 96% accuracy, as well as identifying 92% of analytes in urine.

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JO - Chemical Communications

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Array-based detection of persistent organic pollutants via cyclodextrin promoted energy transfer

Abstract

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